Capacitive seat occupancy detection and classification system

US10457236B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10457236-B2
Application numberUS-201716073211-A
CountryUS
Kind codeB2
Filing dateJan 24, 2017
Priority dateJan 26, 2016
Publication dateOct 29, 2019
Grant dateOct 29, 2019

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Abstract

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A capacitive vehicle seat occupancy detection and classification system includes an impedance measurement circuit and a control and evaluation unit. The impedance measurement circuit is configured for providing periodic electrical measurement signals to a capacitive sensor of N different fundamental frequencies, wherein N is a natural number of at least 3, and to determine a complex impedance from each of determined sense currents in the capacitive sensor. The control and evaluation unit is configured to determine a seat occupancy class for each one of the complex impedances determined at the at least N different fundamental frequencies, and to determine a final seat occupancy class derived by a majority decision among the determined seat occupancy classes.

First claim

Opening claim text (preview).

The invention claimed is: 1. A capacitive seat occupancy detection and classification system, including an impedance measurement circuit, comprising: a signal voltage source that is configured for providing periodic electrical measurement signals at an output port, wherein a capacitive sensor is electrically connectable to the output port for receiving the electrical measurement signals, and wherein the signal voltage source is configured to generate periodic measurement signals of N different fundamental frequencies, wherein N is a natural number of at least 3, a sense current measurement circuit that is configured to determine complex sense currents that are being generated in the capacitive sensor by the provided periodic measurement signals of the at least N different fundamental frequencies, a signal processing unit that is configured to: determine a complex impedance from each of the determined sense currents with reference to a complex reference potential, and to provide output signals that are representative of the complex impedances determined at the at least N different fundamental frequencies, and a control and evaluation unit that is configured to: receive the output signals provided by the signal processing unit, compare each of the complex impedances determined at the at least N different fundamental frequencies to predetermined threshold values, based on the result of the comparing, determine a seat occupancy class for each one of the complex impedances determined at the at least N different fundamental frequencies, and to determine a final seat occupancy class derived at least in part by a majority among the seat occupancy classes determined for each one of the complex impedances determined at one of the at least N different fundamental frequencies, wherein N equals [(2×n)+1], with n being a natural number larger than 1 representing the number of potential resonances or electromagnetic (EM) narrowband interferences. 2. The capacitive seat occupancy detection and classification system as claimed in claim 1 , wherein the control and evaluation unit is configured to generate an output signal that is indicative of the determined final seat occupancy class. 3. The capacitive seat occupancy detection and classification system as claimed in claim 1 , wherein N equals [(2×n)+1+k], with n being a natural number larger than 1, n representing the number of potential resonances, and k being a number of potential narrowband interferences of the impedance measurement circuit in an installed state. 4. The capacitive seat occupancy detection and classification system as claimed in claim 1 , wherein the different fundamental frequencies are selected out of a frequency range between 1 MHz and 10 MHz. 5. The capacitive seat occupancy detection and classification system as claimed in claim 1 , wherein the signal voltage source is configured to generate the periodic measurement signals of the at least N different fundamental frequencies in a simultaneous manner. 6. The capacitive seat occupancy detection and classification system as claimed in claim 1 , wherein determining the final seat occupancy class from the seat occupancy classes determined for each one of the complex impedances determined at the at least N different fundamental frequencies is determined by a majority decision expressed as M>n+½+p with p<n+½, wherein M is the number of complex impedances for which a specific seat occupancy class has been determined, and p is a natural number including zero. 7. The capacitive seat occupancy detection and classification system as claimed in claim 1 , further comprising a capacitive sensor, wherein the capacitive sensor is electrically connected to the output port of the signal voltage source and to the sense current measurement circuit. 8. A vehicle seat, comprising: a seat structure for erecting the vehicle seat on a passenger cabin floor of the vehicle, a seat cushion having at least one seat foam member, a seat base supported by the seat structure and configured for receiving the seat cushion, the seat base and the seat cushion being provided for supporting a bottom of a seat occupant, a backrest that is provided for supporting a back of the seat occupant, and a capacitive seat occupant detection and classification system as claimed in claim 7 , wherein the capacitive sensor is arranged at the seat cushion or at the backrest. 9. A method of operating the capacitive seat occupancy detection and classification system as claimed in claim 7 in a vehicle seat that includes: a seat structure for erecting the vehicle seat on a passenger cabin floor of the vehicle, a seat cushion having at least one seat foam member, a seat base supported by the seat structure and configured for receiving the seat cushion, the seat base and the seat cushion being provided for supporting a bottom of a seat occupant, and a backrest that is provided for supporting a back of the seat occupant, wherein the capacitive sensor member is arranged at the seat cushion or at the backrest. 10. A method of operating a capacitive seat occupancy detection and classification system having a capacitive sensor electrically connected to a signal voltage source configured to generate periodic electrical measurement signals, the method including steps of: providing a periodic electrical measurement signal of a first fundamental frequency out of at least N different fundamental frequencies to the capacitive sensor, wherein N equals [(2×n)+1], with n being a natural number larger than 1 representing the number of potential resonances or electromagnetic (EM) narrowband interferences, determining a complex sense current that is being generated in the capacitive sensor in response to the provided periodic electrical measurement signal, determining, with reference to a complex reference potential, a complex impedance from the determined sense current, comparing the determined complex impedance to predetermined threshold values, determining a seat occupancy class for the determined complex impedance, repeating the preceding steps for each of the periodic measurement signals of the at least N different fundamental frequencies, and determining a final seat occupancy class derived at least in part by a majority among the seat occupancy classes determined for each one of the complex impedances determined at the at least N different fundamental frequencies.

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What does patent US10457236B2 cover?
A capacitive vehicle seat occupancy detection and classification system includes an impedance measurement circuit and a control and evaluation unit. The impedance measurement circuit is configured for providing periodic electrical measurement signals to a capacitive sensor of N different fundamental frequencies, wherein N is a natural number of at least 3, and to determine a complex impedance f…
Who is the assignee on this patent?
Iee Sa
What technology area does this patent fall under?
Primary CPC classification B60R21/01532. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Tue Oct 29 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).